source: src/main/java/weka/classifiers/trees/m5/Values.java @ 9

Last change on this file since 9 was 4, checked in by gnappo, 14 years ago

Import di weka.

File size: 3.3 KB
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1/*
2 *    This program is free software; you can redistribute it and/or modify
3 *    it under the terms of the GNU General Public License as published by
4 *    the Free Software Foundation; either version 2 of the License, or
5 *    (at your option) any later version.
6 *
7 *    This program is distributed in the hope that it will be useful,
8 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
9 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
10 *    GNU General Public License for more details.
11 *
12 *    You should have received a copy of the GNU General Public License
13 *    along with this program; if not, write to the Free Software
14 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
15 */
16
17/*
18 *    Values.java
19 *    Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
20 *
21 */
22
23
24package weka.classifiers.trees.m5;
25
26import weka.core.Instances;
27import weka.core.RevisionHandler;
28import weka.core.RevisionUtils;
29
30/**
31 * Stores some statistics.
32 * @author Yong Wang (yongwang@cs.waikato.ac.nz)
33 * @version $Revision: 1.7 $
34 */
35public final class Values
36  implements RevisionHandler {
37 
38  int  numInstances;        // number of the instances
39  int  missingInstances;    // number of the instances with missing values
40  int  first;               // index of the first instance
41  int  last;                // index of the last instance
42  int  attr;                // attribute
43  double  sum;              // sum of the instances for attribute
44  double  sqrSum;           // squared sum of the instances for attribute
45  double  va;               // variance
46  double  sd;               // standard deviation
47 
48
49  /**
50   * Constructs an object which stores some statistics of the instances such
51   *      as sum, squared sum, variance, standard deviation
52   * @param low the index of the first instance
53   * @param high the index of the last instance
54   * @param attribute the attribute
55   * @param inst the instances
56   */
57
58  public Values(int low,int high,int attribute,Instances inst){
59    int i,count=0;
60    double value;
61
62    numInstances = high-low+1;
63    missingInstances = 0;
64    first = low;
65    last = high;
66    attr = attribute;
67    sum=0.0;
68    sqrSum=0.0;
69    for(i=first;i<=last;i++){
70      if(inst.instance(i).isMissing(attr)==false){
71        count++;
72        value = inst.instance(i).value(attr);
73        sum += value;
74        sqrSum += value * value;
75      }
76     
77      if(count >1){
78        va = (sqrSum - sum * sum/count)/count;
79        va = Math.abs(va);
80        sd = Math.sqrt(va);
81      }
82      else {va = 0.0;  sd = 0.0;}     
83    }
84  }
85
86  /**
87   * Converts the stats to a string
88   * @return the converted string
89   */
90  public final String  toString(){
91   
92    StringBuffer text = new StringBuffer();
93
94    text.append("Print statistic values of instances (" + first + "-" + last + 
95                "\n");
96    text.append("    Number of instances:\t" + numInstances + "\n");
97    text.append("    NUmber of instances with unknowns:\t" + missingInstances +
98                "\n");
99    text.append("    Attribute:\t\t\t:" + attr + "\n");
100    text.append("    Sum:\t\t\t" + sum + "\n");
101    text.append("    Squared sum:\t\t" + sqrSum + "\n");
102    text.append("    Stanard Deviation:\t\t" + sd + "\n");
103
104    return text.toString();
105  }
106 
107  /**
108   * Returns the revision string.
109   *
110   * @return            the revision
111   */
112  public String getRevision() {
113    return RevisionUtils.extract("$Revision: 1.7 $");
114  }
115}
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